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Sharing Research Data to Improve Public Health in Africa A Workshop Summary (2015) / Chapter Skim
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6 Next Steps: Maximizing the Use of Data to Improve Public Health
Pages 77-80

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From page 77...
... Many participants expressed support for the benefits from sharing data, but also said that work is needed to ensure that data sharing is enhanced. Kern summarized what he understood to be possible next steps: • Relationships.
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From page 78...
... or through "bootstrapping." African institutions face a major challenge in finding resources to build capacity given the limits on core functions available in typical funding arrangements. Produce high-quality data Advance science & policy Advance science AƩract & retain staff Set evidence-based policies Protect respondents Ask quesƟons not answered by others Sustain projects Data at Data Data Access Access ce Users Enjoy confidenƟality Be informed Data ata t Data Experience benefit Subjects ectors c Collectors Avoid harm FIGURE 6-1  Data continuum players as equals.
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From page 79...
... The existing system of rewards and recognition for academics does not encourage data sharing. While the potential to improve public health is an incentive, more tangible incentives are needed.
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From page 80...
... New relationships with groups like the World Medical Association and the West African Organizations for Health might help advance solutions. In support of this issue, David Carr suggested that participants use the workshop sum mary "as a basis for taking forward discussions with your own communities and stakeholders." Future Challenges Kern concluded with the observation that the future of public health research rests in part on the ability to maximize the use of data through sharing and linking data.
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Key Terms

  • improve public
  • longitudinal data
  • sharing data
  • leveraging longitudinal
  • advance science

  • data subjects
  • review boards
  • countries committee
  • ethical review
  • protect respondents

  • finding solutions
  • west african
  • specific ideas
  • data requires
  • community engagement

  • facilitate data
  • typical funding
  • increasingly complex
  • ticipants expressed
  • avoiding harm

  • ata sharing
  • ing confidentiality
  • forward discussions
  • enable regular
  • effective data

  • kern concluded
  • default assumption
  • engagement strategies
  • collectors avoid
  • complex data


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